A revolutionary method called Poller leverages large language models to evaluate poetry understanding with near-human accuracy, reducing errors by up to 94.55% in specific dimensions. This AI advancement bridges automation and human expertise in literary analysis.

Saltroad, a clinician‑led speech and language therapy provider, secured £1.5 million in funding and bought AI documentation platform Ogma to streamline therapy for children. The move aims to cut admin, standardise notes, and expand access across the UK.

A groundbreaking AI system combines time-series forecasting, anomaly detection, and LLM-driven analysis to deliver actionable energy insights. This end-to-end solution reduces alert noise for facility managers while maintaining high accuracy across 16 real-world scenarios.

MedEvoEval introduces a groundbreaking framework for evaluating AI doctor agents in simulated clinical settings. By tracking cross-episode learning and decision-making, it addresses critical gaps in medical AI evaluation. This tool enables developers to measure knowledge retention, resource allocation, and behavioral adaptation over time.

A groundbreaking study reveals that traditional safety methods for AI agents are fundamentally flawed. Instead of relying on refusal-based content safety, the paper advocates for action alignment and least privilege enforcement to ensure secure, user-intent-driven AI systems.

Billions flood longevity research as scientists explore AI-driven cellular reprogramming to reverse aging. MIT’s Roundtable unpacks the science, funding, and ethical dilemmas behind this cutting-edge field.

For two years Europe has been fixated on catching up in the model race, but the real edge may come from how companies integrate AI into their workflows. This article explores why architecture, not sheer size, will define Europe’s AI future.

Crunchbase data reveals Q2 2026 delivered the most billion‑dollar startup exits since 2021, led by SpaceX’s historic $75B IPO and a wave of high‑value acquisitions. While the count lags the 2021 peak, the sheer size of these deals is reshaping the AI and tech investment landscape.

Researchers introduce a gravitational interpretation of fine-tuning reversion, explaining how AI models can revert to earlier behaviors. This phenomenon is caused by dominant behavioral manifolds created during early training phases. The study provides insights into the safety and stability of AI models, with significant implications for the AI industry.